1.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.00
## LDevsum       1.00       1.01
## dh0           1.10       1.26
## dh1           1.16       1.41
## dh2           1.05       1.13
## dh3           1.01       1.02
## dl0           1.04       1.06
## dl1           1.12       1.32
## 
## Multivariate psrf
## 
## 1.11

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.03
## LDevsum       1.00       1.00
## dh0           7.43      13.83
## dh1          16.90      30.91
## dh2          14.34      32.04
## dh3           8.50      16.56
## dl0           1.25       1.63
## dl1           1.10       1.27
## 
## Multivariate psrf
## 
## 20.1

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results